Study On Joint Decision Of Relocation And Dynamic Pricing Strategy For Time-sharing Car Leasing System

With the rapid development of sharing economy in recent years,the time-sharing car leasing mode is more and more accepted and favored by people.At present,the time-sharing car leasing industry in China has entered a rapid development stage,and more and more enterprises have entered this industry.In the constant exploration and development of many enterprises,the problems existing in the time-sharing car leasing system are gradually exposed,among which the most prominent contradiction is the imbalance between the distribution of system vehicles and the user demand.Vehicle relocation and user price incentive measures are the main methods to adjust the contradiction between them.Most previous studies consider the impact of the two measures on system performance respectively,while less consider the combination of the two measures.Therefore,through the joint decision of relocation and dynamic pricing,making appropriate vehicle relocation strategy and dynamic pricing strategy has important practical significance for operators to improve system revenue,improve system performance and user experience,and promote the development of the industry.In this paper,the one-way station time-sharing car leasing system is taken as the research object.From the perspective of the system,this paper consider the balance between vehicle relocation and dynamic pricing with system performance.The queuing network model for the whole system is established based on queuing model for the car picking up process and using process.Based on O2DES(object-oriented discrete event simulation)discrete event simulation modeling framework,the simulation model of the system is established,and the joint decisionmaking and performance analysis of vehicle relocation and dynamic pricing are carried out.The specific work of this paper includes:(1)Time-sharing car leasing system modeling.In this paper,the one-way station timesharing car leasing system is taken as the research object.The users’ car picking up process at station and car using process in the path are regarded as two queuing processes,and the system is abstracted as queuing network model.Taking use of O2 DES discrete event modeling and simulation framework,the queuing network model of the system is simulated.Under the O2 DES modeling and simulation framework,the static state,dynamic state and related events of the system are defined,which complicating the simulation modeling of time-sharing car leasing system.(2)The joint decision-making optimization model and algorithm design of vehicle relocation and dynamic pricing are established.Based on the simulation model of the system and the dynamic variables of the system described by the simulation model,this paper establishes a joint decision-making optimization model for the system.,which takes the maximization of the daily average revenue of the operators as the objective function,considering the threshold constraints of vehicle relocation and dynamic pricing constraints.(3)Based on the operation data of taxi in Chengdu,this paper digs the station location and the corresponding OD demand of the time-sharing car leasing system,drawing up an example to solve the optimization model,and analyzes the results of the optimization model with different combinations of vehicle relocation and dynamic pricing strategies to compare the performance improvement effects of these combinations.